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PlanRadar

AI/ML Engineer

PlanRadar
Austria · Full-time · Associate

What we do at PlanRadar

PlanRadar is a leading platform for digital documentation, communication and reporting in construction, facility management and real estate projects. It enables customers to work more efficiently, enhance quality and achieve full project transparency. By improving collaboration and providing access to real-time data, PlanRadar’s easy-to-use platform adds value to every person involved in a building’s lifecycle, with flexible capabilities for all company sizes and processes. Today, PlanRadar serves more than 150,000 users across 75+ countries.


PlanRadar promises an inclusive, engaging and exciting place to work. We are inquisitive minds who challenge the status quo, with a drive to change our client's industry for the better. Our people matter the most, and we regularly conduct surveys and implement changes to ensure our benefits and the way we work reflects the culture that we promote. If you're courageous and ready for a new adventure, join PlanRadar!

Meet the team here!


What you’ll get to do

We are looking for a AI/ML Engineer joining our team in Vienna. In the team we make sure that data from all kinds of sources, no matter how big, complicated, or messy, ends up in our central data warehouse, and is robust to unforeseen changes. You will contribute to the team by developing and implementing AI and machine learning models and algorithms.


Curious about the technologies we work with? Check out our TechStack sheet!

[email protected]


AMONG OTHER THINGS YOU WILL

  • Develop and implement machine learning models and algorithms using Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
  • Collaborate with cross-functional project teams to integrate AI/ML solutions into existing products or develop new AI-driven features.
  • Support the development team in putting these services to production
  • Help shape the roadmap for PlanRadar’s AI future
  • Support other teams with your know-how and working closely together with data engineers and BI analysts
  • Come up with fresh ideas to help make decisions more data-driven and to democratize access to data


WHO YOU ARE

  • Our ideal candidate has an MSc. or BSc. In a relevant field of study such as: Computer Science, Machine Learning, Data Science, Software Engineering, Physics or Mathematics
  • You have at least 2 years of professional experience in a similar position
  • You enjoy writing robust and well-tested Python code
  • You have solid experience with Python's data and scientific computing stack
  • You are familiar with the latest generative AI models and their real-world applicability
  • You are familiar with git and software development tools for CI/CD, monitoring, and logging
  • Previous experience in working with cloud providers like AWS and serverless architectures is a bonus
  • You have very good English language skills – German language skills are a plus a plus


What we offer

  • Room for personal and professional development
  • Challenging and diversified line of action
  • Working in a fast-growing company with international customers and investors
  • Centrally located and attractive office in Vienna
  • Possibilities to work from home
  • Performance-related career system
  • Motivated and agile team with a common vision
  • Additional benefits like team events, free drinks & snacks, …


The annual gross salary for this position based on a full-time employment depending on your individual professional qualifications and previous experience ranges from € 40.600.- to € 63,000.-. This includes: full health insurance, occupational accident insurance, public pension scheme and public unemployment insurance.

Key Skills

Ranked by relevance

c ha lan ai machine learning python git pan ui data warehouse serverless tensorflow pytorch server cloud rally keras aws nac eop cis aci nat
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Posted
Nov 28, 2024
Type
Full-time
Level
Associate
Location
Vienna
Company
PlanRadar

Industries

Software Development IT System Custom Software Development

Categories

Information Technology

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